This paper presents ensemble models for forecasting big data time series. An ensemble
composed of three methods (decision tree, gradient boosted trees and random forest) is …

Urban ecology is experiencing the third paradigm shift. To understand the interactions
between the social system and the natural system in the city across time and space, and to …

The public sector, private firms, business community, and civil society are generating data
that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of …

Tunnel oxide passivated contacts (TOPCon) have gained interest as a way to increase the
energy conversion efficiency of silicon solar cells, and the International Technology …

Materials are the foundation of social development. The vigorous development of big-data
technology has brought new opportunities for material research and development, gradually …

Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence
and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data …

AI (artificial intelligence)-based analysis of geospatial data has gained a lot of attention.
Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in disparate …

Convergence between high-performance computing (HPC) and big data analytics (BDA) is
currently an established research area that has spawned new opportunities for unifying the …

Today's scientific applications are increasingly relying on a variety of data sources, storage
facilities, and computing infrastructures, and there is a growing demand for data analysis …

Healthcare systems are growing very fast, especially emergency departments (EDs) which
constitute the major bottleneck of these complex concurrent systems. Emergency …